Now showing items 1-7 of 7

    • Augmenting elasticity controllers for improved accuracy 

      Rameshan, Navaneeth; Ying, Liu; Navarro Moldes, Leandro; Vlassov, Vladimir (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Restricted access - publisher's policy
      Elastic resource provisioning is used to guarantee service level objectives (SLO) at reduced cost in a Cloud platform. However, performance interference in the hosting platform introduces uncertainty in the performance ...
    • Energy efficiency dilemma: P2P-cloud vs. datacenter 

      Sharifi, Leila; Rameshan, Navaneeth; Freitag, Fèlix; Veiga, Luis (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Conference report
      Restricted access - publisher's policy
      Energy consumption is increasing in the IT sector and a remarkable part of this energy is consumed in data centers. Numerous techniques have been proposed to solve the energy efficiency issue in cloud systems. Recently, ...
    • Hubbub-scale: towards reliable elastic scaling under multi-tenancy 

      Rameshan, Navaneeth; Ying, Liu; Navarro Moldes, Leandro; Vlassov, Vladimir (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Restricted access - publisher's policy
      Elastic resource provisioning is used to guarantee service level objective (SLO) with reduced cost in a Cloud platform. However, performance interference in the hosting platform introduces uncertainty in the performance ...
    • On the role of performance interference in consolidated environments 

      Rameshan, Navaneeth (Universitat Politècnica de Catalunya, 2016-10-24)
      Doctoral thesis
      Open Access
      Covenantee:   Kungliga Tekniska högskolan
      With the advent of resource shared environments such as the Cloud, virtualization has become the de facto standard for server consolidation. While consolidation improves utilization, it causes performance-interference ...
    • Profiling memory vulnerability of big-data applications 

      Rameshan, Navaneeth; Birke, R.; Navarro Moldes, Leandro; Vlassov, Vladimir; Urgaonkar, B.; Kesidis, G.; Schmatz, M.; Chen, L. Y. (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Restricted access - publisher's policy
      Motivated by the increasing popularity of hosting in-memory big-data analytics in cloud, we present a profiling methodology that can understand how different memory subsystems, i.e., cache and memory bandwidth, are susceptible ...
    • Resource-aware scaling of multi-threaded Java applications in multi-tenancy scenarios 

      Shardomin Simao, Jose Pedro; Rameshan, Navaneeth; Veiga, Luis (IEEE Computer Society Publications, 2013)
      Conference report
      Restricted access - publisher's policy
      Cloud platforms are becoming more prevalent in every computational domain, particularly in e-Science. A typical scientific workload will have a long execution time or be data intensive. Providing an execution environment ...
    • Stay-Away, protecting sensitive applications from performance interference 

      Rameshan, Navaneeth; Navarro Moldes, Leandro; Monte Moreno, Enrique; Vlassov, Vladimir (Association for Computing Machinery (ACM), 2014)
      Conference report
      Restricted access - publisher's policy
      While co-locating virtual machines improves utilization in resource shared environments, the resulting performance interference between VMs is difficult to model or predict. QoS sensitive applications can suffer from ...